Videos

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Matthew Landreman - Opportunities for multi-fidelity methods in fusion device design

May 7, 2026
IPAM

Luis Oliveira e Silva - Ab initio PIC simulations and data-driven techniques for multi-fidelity or reduced plasma models

April 17, 2026
IPAM

Leonardo Zepeda-Núñez - Learning Turbulent and Chaotic Dynamics via Data-Driven Probabilistic Models

April 16, 2026
IPAM

Towards multilevel training algorithms: Applying scientific computing perspectives to neural networks

Presenter
  • Eric Cyr
April 16, 2026
ICERM
Victor Artigues - Plasma Turbulence in TensorFlow: Reduced Models and Optimization - IPAM at UCLA Thumbnail

Victor Artigues - Plasma Turbulence in TensorFlow: Reduced Models and Optimization - IPAM at UCLA

Presenter
  • Victor Artigues
March 23, 2026
IPAM

Memorization and Regularization in Generative Diffusion Models

Presenter
  • Ricardo Baptista
March 4, 2026
ICERM
Lance Dixon - AI for Theory Data - IPAM at UCLA Thumbnail

Lance Dixon - AI for Theory Data - IPAM at UCLA

Presenter
  • Lance Dixon
March 4, 2026
IPAM

Structured Matrix Learning from Matrix-Vector Products

Presenter
  • Chris Musco
February 4, 2026
ICERM
Scalable Reduced Order Modelling For Digital Twins – Hype or Reality Thumbnail

Scalable Reduced Order Modelling For Digital Twins – Hype or Reality

Presenter
  • Dirk Hartmann
November 13, 2025
IMSI
Optimization for Low Dimensional Modeling Thumbnail

Optimization for Low Dimensional Modeling

Presenter
  • Laura Balzano
November 12, 2025
IMSI
Jing Yang - Molecular dynamics sim for electrochemical systems: challenges of field fluctuation Thumbnail

Jing Yang - Molecular dynamics sim for electrochemical systems: challenges of field fluctuation

Presenter
  • Jing Yang
October 30, 2025
IPAM
Jun Cheng - AI acceleration of AIMD simulation of electrochemical interfaces - IPAM at UCLA Thumbnail

Jun Cheng - AI acceleration of AIMD simulation of electrochemical interfaces - IPAM at UCLA

Presenter
  • Jun Cheng
October 27, 2025
IPAM